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Global Animal Feed Peptide Market Strategic Research Report

Global Animal Feed Peptide Market Strategic Research Report
$3,500 USD
Global Animal Feed Peptide Market Strategic Research Report

By Type: Collagen Peptides/Hydrolyzed Collagen, Fish-Derived (Marine Collagen) Peptides, Gelatin Hydrolysates, Milk & Whey-Derived Peptides, Meat-Derived Enzymatic Hydrolysates, Antimicrobial Peptides (AMPs), Other

By Application: Poultry, Ruminants, Swine, Aquaculture

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: PB Leiner, GELITA AG, Rousselot, Darling Ingredients, Nitta Gelatin, Titan Biotech, Bachem AG, Weishardt International, CPC Scientific, VPEP India, NF Protein

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2026 · forecast to 2031
Length: 242 pages
Market size 2026
$0.74B
Billion USD
Forecast CAGR
11%
2026-2031
Forecast 2031
$1.2B
Projected
区域
5
Asia Pacific · Latin America · MEA · Europe · North America

概述

The global animal feed peptide market is derived from Future Market Insights' broader "Animal Peptides Market" estimate of USD 900.2 million in 2025, growing at an 11.0% CAGR to reach USD 2,556.0 million by 2035. Because FMI's published scope explicitly spans pet food/treats and veterinary/injectable therapeutics alongside feed-relevant applications (poultry, ruminant, swine and aquaculture nutrition), this report applies an analyst-derived adjustment - based on FMI's own reported Animal Species value shares (Poultry 27.3%, Ruminants 21.6%, Swine 18.9%, summing to 67.8% unambiguously feed/livestock-relevant, plus an estimated ~14% for aquaculture) - to arrive at an estimated feed-only market of approximately USD 736.4 million in 2025. This derivation is shown transparently, formula-by-formula, in the companion workbook rather than presented as an independently-sourced figure.

Growth in animal feed peptides is being driven by the global shift toward antibiotic-free animal nutrition strategies: bioactive peptides are increasingly positioned as immunomodulatory and antimicrobial alternatives supporting disease resistance without inducing microbial resistance, particularly as regulations tighten on antibiotic growth promoters across Europe, North America and parts of Asia. Collagen peptides and hydrolyzed collagen (24.7% share of the full FMI scope) lead by peptide type, reflecting wide-scale integration into joint, skin and mobility-focused formulations, followed by fish-derived/marine collagen peptides (17.8%) and gelatin hydrolysates (14.5%).

Powder remains the dominant delivery form (58.3% of the full FMI scope), reflecting processing ease, shelf stability and compatibility with feed premixes. By species, poultry leads feed-relevant demand (27.3% of the full scope), followed closely by ruminants (21.6%) and swine (18.9%) - together confirming that intensive livestock production systems, where peptides support feed conversion efficiency, immune function and gut health, anchor the bulk of genuine feed-ingredient demand.

Real UN Comtrade trade-data analysis (HS code 3504, the same classification and dataset used in the companion Food Peptides report, since collagen/protein-hydrolysate peptide trade flows serve both food and feed applications) confirms China as the largest net exporter among reporting countries (~USD 658 million surplus, 2024) and shows strong export growth from Canada (+20.8% CAGR, 2020–2024), South Korea (+19.8%) and Brazil (+18.8%) - well above the category-wide value growth rate, suggesting these origins are gaining share specifically.

The competitive landscape is genuinely fragmented: FMI reports the largest identifiable single-company share (Titan Biotech) at just 4.1%, with "Others" accounting for 95.9% of the market - a materially more fragmented structure than the pharma peptide API or cosmetic peptide markets this report family has previously covered.

Scope of the Global Animal Feed Peptide Market Strategic Research Report

This report provides market sizing (value, derived from a real third-party anchor with a transparently-shown analyst adjustment) across peptide type, animal species and regional segments through 2031, alongside real UN Comtrade trade-data analysis. Full country-level detail is provided for all 5 regions, including Latin America and Middle East & Africa.

Segment by Type

  • Collagen Peptides/Hydrolyzed Collagen
  • Fish-Derived (Marine Collagen) Peptides
  • Gelatin Hydrolysates
  • Milk & Whey-Derived Peptides
  • Meat-Derived Enzymatic Hydrolysates
  • Antimicrobial Peptides (AMPs)
  • Other

Segment by Animal Species

  • Poultry (Broilers, Layers)
  • Ruminants (Dairy, Beef)
  • Swine (Weaners, Growers, Sows)
  • Aquaculture (Fish, Shrimp)

Who Can Use This Report?

This research report is ideal for people who need a granular view of the global animal feed peptide market rather than aggregate headline narratives. Some of the intended users are:

  • Animal feed manufacturers and compound-feed formulators evaluating peptide-ingredient sourcing
  • Amino-acid and feed-additive producers assessing adjacency/diversification into peptide ingredients
  • Agribusiness and livestock-nutrition investment teams
  • Trade and supply-chain professionals tracking cross-border feed-ingredient trade flows via real Comtrade data

Market snapshot

Global Animal Feed Peptide Market Strategic Research Report snapshot, 2026–2031

Source: Market Research Reports
Market size CAGR 11%
Regional growth momentum
Market share by segment
Key metrics
Base value
$0.74B
2026
Forecast
$1.2B
2031
Volume
0
, 2026
Volume 2031
0
Key companies
PB LeinerGELITA AGRousselotDarling IngredientsNitta GelatinTitan BiotechBachem AGWeishardt International
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
Collagen Peptides/Hydrolyzed CollagenFish-Derived (Marine Collagen) PeptidesGelatin HydrolysatesMilk & Whey-Derived PeptidesMeat-Derived Enzymatic HydrolysatesAntimicrobial Peptides (AMPs)Other
By Application
PoultryRuminantsSwineAquaculture

Table of contents

Click a chapter to expand
01Executive Summary
  • 1.2 Market Scope and Definition
  • 1.3 Market Size and Forecast Outlook
  • 1.4 Segmentation Highlights
  • 1.5 Regional Overview
  • 1.6 Trade Data Intelligence
  • 1.7 Competitive Landscape
  • 1.8 Key Strategic Findings
  • 1.9 Report Structure
02Industry Overview & Forecast
  • 2.1 Market Definition and Scope
  • 2.2 Global Market Size and Growth Trajectory
  • 2.3 Volume Analysis
  • 2.4 Segmentation Overview
  • 2.5 Regional Market Overview and Forecast
  • 2.6 Competitive Landscape and Market Structure
  • 2.7 Key Growth Drivers and Forecast Assumptions
03Market Segmentation by Type
  • 3.1 Overview and Methodology
  • 3.2 Collagen Peptides / Hydrolyzed Collagen
  • 3.3 Fish-Derived (Marine Collagen) Peptides
  • 3.4 Gelatin Hydrolysates
  • 3.5 Milk & Whey-Derived Peptides
  • 3.6 Meat-Derived Enzymatic Hydrolysates
  • 3.7 Antimicrobial Peptides (AMPs)
  • 3.8 Other
  • 3.9 Volume Analysis
04Market Segmentation by Application
  • 4.1 Overview of the Species-Based Segmentation Framework
  • 4.2 Poultry (Broilers, Layers)
  • 4.3 Ruminants (Dairy, Beef)
  • 4.4 Swine (Weaners, Growers, Sows)
  • 4.5 Aquaculture (Fish, Shrimp)
  • 4.6 Cross-Segment Synthesis and Growth Trajectory
05Regional Market Forecast
  • 5.1 Asia-Pacific
  • 5.2 North America
  • 5.3 Europe
  • 5.4 Latin America
  • 5.5 Middle East & Africa
06Country-Level Market Forecast
  • 6.1 Asia-Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 South Korea
  • 6.1.4 India
  • 6.1.5 Australia
  • 6.1.6 Rest of Asia-Pacific
  • 6.2 North America
  • 6.2.1 USA
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 United Kingdom
  • 6.3.4 Netherlands
  • 6.3.5 Belgium
  • 6.3.6 Rest of Europe
  • 6.4 Latin America
  • 6.4.1 Brazil
  • 6.4.2 Argentina
  • 6.4.3 Rest of Latin America
  • 6.5 Middle East & Africa
  • 6.5.1 Saudi Arabia
  • 6.5.2 UAE
  • 6.5.3 South Africa
  • 6.5.4 Rest of Middle East & Africa
07Growth Drivers & Inhibitors
  • 7.1 Market Drivers
  • 7.2 Market Restraints
  • 7.3 Market Opportunities
  • 7.4 Market Challenges
08Key Company Profiles
  • 8.1 PB Leiner
  • 8.2 GELITA AG
  • 8.3 Rousselot
  • 8.4 Darling Ingredients
  • 8.5 Nitta Gelatin
  • 8.6 Titan Biotech
  • 8.7 Bachem AG
  • 8.8 Weishardt International
  • 8.9 CPC Scientific
  • 8.10 VPEP India
  • 8.11 NF Protein
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Overview
  • 11.2 Political
  • 11.3 Economic
  • 11.4 Sociocultural
  • 11.5 Technological
  • 11.6 Legal
  • 11.7 Environmental
  • 11.8 PESTLE Summary Assessment
12SWOT Analysis
  • 12.1 Overview and Analytical Framework
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats
  • 12.6 SWOT Summary Matrix
13Future Trends & Outlook
  • 13.1 Global Animal Feed Peptide Market
  • 13.2 Overview
  • 13.3 Trend 1
  • 13.4 Trend 2
  • 13.5 Trend 3
  • 13.6 Trend 4
  • 13.7 Trend 5
  • 13.8 Trend 6
  • 13.9 Synthesised Outlook: Market Model Trajectory and Scenario Framing

Tables and figures

  • 2.1 Exhibit 2.1: Forecast of Global Market YoY Growth Rate & CAGR Summary (in %)
  • 2.2 Exhibit 2.2: Forecast of Global Market YoY Growth Rate & CAGR Summary (in %)
  • 2.3 Exhibit 2.3: Forecast of Global (in USD Mn)
  • 2.4 Exhibit 2.4: Forecast of Asia-Pacific (in USD Mn)
  • 2.5 Exhibit 2.5: Forecast of North America (in USD Mn)
  • 2.6 Exhibit 2.6: Forecast of Europe (in USD Mn)
  • 2.7 Exhibit 2.7: Forecast of Latin America (in USD Mn)
  • 2.8 Exhibit 2.8: Forecast of Middle East & Africa (in USD Mn)
  • 2.9 Exhibit 2.9: Forecast of Global (in kmt)
  • 2.10 Exhibit 2.10: Forecast of Asia-Pacific (in kmt)
  • 2.11 Exhibit 2.11: Forecast of North America (in kmt)
  • 2.12 Exhibit 2.12: Forecast of Europe (in kmt)
  • 2.13 Exhibit 2.13: Forecast of Latin America (in kmt)
  • 2.14 Exhibit 2.14: Forecast of Middle East & Africa (in kmt)
  • 3.15 Exhibit 3.15: Forecast of Collagen Peptides/Hydrolyzed Collagen (in USD Mn)
  • 3.16 Exhibit 3.16: Forecast of Collagen Peptides/Hydrolyzed Collagen (in kmt)
  • 3.17 Exhibit 3.17: Forecast of Fish-Derived (Marine Collagen) Peptides (in USD Mn)
  • 3.18 Exhibit 3.18: Forecast of Fish-Derived (Marine Collagen) Peptides (in kmt)
  • 3.19 Exhibit 3.19: Forecast of Gelatin Hydrolysates (in USD Mn)
  • 3.20 Exhibit 3.20: Forecast of Gelatin Hydrolysates (in kmt)
  • 3.21 Exhibit 3.21: Forecast of Milk & Whey-Derived Peptides (in USD Mn)
  • 3.22 Exhibit 3.22: Forecast of Milk & Whey-Derived Peptides (in kmt)
  • 3.23 Exhibit 3.23: Forecast of Meat-Derived Enzymatic Hydrolysates (in USD Mn)
  • 3.24 Exhibit 3.24: Forecast of Meat-Derived Enzymatic Hydrolysates (in kmt)
  • 3.25 Exhibit 3.25: Forecast of Antimicrobial Peptides (AMPs) (in USD Mn)
  • 3.26 Exhibit 3.26: Forecast of Antimicrobial Peptides (AMPs) (in kmt)
  • 3.27 Exhibit 3.27: Forecast of Other (Blood-Derived, Di/Oligo-Peptide Blends) (in USD Mn)
  • 3.28 Exhibit 3.28: Forecast of Other (Blood-Derived, Di/Oligo-Peptide Blends) (in kmt)
  • 4.29 Exhibit 4.29: Forecast of Poultry (Broilers, Layers) (in USD Mn)
  • 4.30 Exhibit 4.30: Forecast of Poultry (Broilers, Layers) (in kmt)
  • 4.31 Exhibit 4.31: Forecast of Ruminants (Dairy, Beef) (in USD Mn)
  • 4.32 Exhibit 4.32: Forecast of Ruminants (Dairy, Beef) (in kmt)
  • 4.33 Exhibit 4.33: Forecast of Swine (Weaners, Growers, Sows) (in USD Mn)
  • 4.34 Exhibit 4.34: Forecast of Swine (Weaners, Growers, Sows) (in kmt)
  • 4.35 Exhibit 4.35: Forecast of Aquaculture (Fish, Shrimp) (in USD Mn)
  • 4.36 Exhibit 4.36: Forecast of Aquaculture (Fish, Shrimp) (in kmt)
  • 6.37 Exhibit 6.37: Forecast of Asia-Pacific (in USD Mn)
  • 6.38 Exhibit 6.38: Forecast of China (in USD Mn)
  • 6.39 Exhibit 6.39: Forecast of Japan (in USD Mn)
  • 6.40 Exhibit 6.40: Forecast of South Korea (in USD Mn)
  • 6.41 Exhibit 6.41: Forecast of India (in USD Mn)
  • 6.42 Exhibit 6.42: Forecast of Australia (in USD Mn)
  • 6.43 Exhibit 6.43: Forecast of Rest of Asia-Pacific (in USD Mn)
  • 6.44 Exhibit 6.44: Forecast of Asia-Pacific (in kmt)
  • 6.45 Exhibit 6.45: Forecast of China (in kmt)
  • 6.46 Exhibit 6.46: Forecast of Japan (in kmt)
  • 6.47 Exhibit 6.47: Forecast of South Korea (in kmt)
  • 6.48 Exhibit 6.48: Forecast of India (in kmt)
  • 6.49 Exhibit 6.49: Forecast of Australia (in kmt)
  • 6.50 Exhibit 6.50: Forecast of Rest of Asia-Pacific (in kmt)
  • 6.51 Exhibit 6.51: Forecast of North America (in USD Mn)
  • 6.52 Exhibit 6.52: Forecast of USA (in USD Mn)
  • 6.53 Exhibit 6.53: Forecast of Canada (in USD Mn)
  • 6.54 Exhibit 6.54: Forecast of Mexico (in USD Mn)
  • 6.55 Exhibit 6.55: Forecast of Rest of North America (in USD Mn)
  • 6.56 Exhibit 6.56: Forecast of North America (in kmt)
  • 6.57 Exhibit 6.57: Forecast of USA (in kmt)
  • 6.58 Exhibit 6.58: Forecast of Canada (in kmt)
  • 6.59 Exhibit 6.59: Forecast of Mexico (in kmt)
  • 6.60 Exhibit 6.60: Forecast of Rest of North America (in kmt)
  • 6.61 Exhibit 6.61: Forecast of Latin America (in USD Mn)
  • 6.62 Exhibit 6.62: Forecast of Rest of Latin America (in USD Mn)
  • 6.63 Exhibit 6.63: Forecast of Latin America (in kmt)
  • 6.64 Exhibit 6.64: Forecast of Rest of Latin America (in kmt)
  • 6.65 Exhibit 6.65: Forecast of Europe (in USD Mn)
  • 6.66 Exhibit 6.66: Forecast of Germany (in USD Mn)
  • 6.67 Exhibit 6.67: Forecast of France (in USD Mn)
  • 6.68 Exhibit 6.68: Forecast of United Kingdom (in USD Mn)
  • 6.69 Exhibit 6.69: Forecast of Netherlands (in USD Mn)
  • 6.70 Exhibit 6.70: Forecast of Belgium (in USD Mn)
  • 6.71 Exhibit 6.71: Forecast of Rest of Europe (in USD Mn)
  • 6.72 Exhibit 6.72: Forecast of Europe (in kmt)
  • 6.73 Exhibit 6.73: Forecast of Germany (in kmt)
  • 6.74 Exhibit 6.74: Forecast of France (in kmt)
  • 6.75 Exhibit 6.75: Forecast of United Kingdom (in kmt)
  • 6.76 Exhibit 6.76: Forecast of Netherlands (in kmt)
  • 6.77 Exhibit 6.77: Forecast of Belgium (in kmt)
  • 6.78 Exhibit 6.78: Forecast of Rest of Europe (in kmt)
  • 6.79 Exhibit 6.79: Forecast of Middle East & Africa (in USD Mn)
  • 6.80 Exhibit 6.80: Forecast of Rest of Middle East & Africa (in USD Mn)
  • 6.81 Exhibit 6.81: Forecast of Middle East & Africa (in kmt)
  • 6.82 Exhibit 6.82: Forecast of Rest of Middle East & Africa (in kmt)

Frequently asked questions

What is the size of the global animal feed peptide market?
Applying a derived adjustment to Future Market Insights' broader "Animal Peptides Market" figure (USD 900.2 million, 2025) to isolate feed-relevant applications, the feed-only market is estimated at approximately USD 736.4 million in 2025, growing at an 11.0% CAGR through 2031.
Which animal species segment is largest?
Poultry leads at approximately 33.4% of the feed-only total.
How fragmented is the competitive landscape?
Genuinely fragmented -- the largest identifiable single-company share (Titan Biotech) is approximately 4.1%.
Does this report cover Latin America and Middle East & Africa at the country level?
Yes. Country-level detail is provided for all 5 regions, including Brazil and Argentina in Latin America, and Saudi Arabia, UAE and South Africa in Middle East & Africa.
Does this report include real trade data?
Yes, real UN Comtrade HS 3504 data for 13 reporting countries, 2020-2025, the same dataset used in the companion Food Peptide report.
Who are the key manufacturers?
PB Leiner, GELITA AG, Rousselot, Darling Ingredients, Nitta Gelatin, Titan Biotech, Bachem AG, Weishardt International, CPC Scientific, VPEP India and NF Protein.

Research Methodology

All MarketResearchReports.com strategic research reports follow a rigorous, multi-stage methodology combining AI-assisted data synthesis with expert analyst validation.

01
Secondary Research & Data Aggregation

Systematic collection from 500+ verified sources including SEC filings, industry databases (Bloomberg, Statista, OECD), regulatory filings, trade publications, patent databases, and company annual reports. AI-assisted extraction identifies relevant data points across 10,000+ documents per report.

02
Market Sizing — Bottom-Up & Top-Down

Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.

03
Competitive Intelligence

Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

04
Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

05
Analyst Validation & Quality Assurance

All quantitative outputs reviewed by a domain-specialist analyst before publication. Data triangulation requires minimum 3 independent sources for every key figure. Reports undergo a structured peer review against our 47-point quality checklist covering methodology, data citations, logical consistency, and formatting standards.

06
Continuous Updates

On-demand reports are generated at time of purchase, incorporating the most recent available data. Static reports are republished when underlying market conditions shift by >10% from baseline assumptions. Purchasers receive update notifications for 12 months.

All data sources are cited within the report. View our full research methodology →
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